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An Infeasible Primal-Dual Algorithm for TV-Based Inf-Convolution-Type Image Restoration (2004)  (Make Corrections)  
M. Hintermüller, G. Stadler



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Abstract: In this paper, a primal-dual algorithm for TV-type image restoration is analyzed and tested. Analytically it turns out that employing a global L^s -regularization, with s > 1, in the dual problem results in a local smoothing of the TV-regularization term in the primal problem. The local smoothing can alternatively be obtained as the infimal convolution of the l_r-norm, with r^-1 + s^-1 = 1, and a smooth function. In the case r = s = 2, this results in Gauss-TV-type image restoration. The... (Update)

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BibTeX entry:   (Update)

@misc{ hintermuller-infeasible,
  author = "M. Hinterm{\"u}ller and G. Stadler",
  title = "An Infeasible Primal-Dual Algorithm for {TV}-Based Inf-Convolution-Type Image
    Restoration",
  url = "citeseer.ist.psu.edu/706107.html" }
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